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Abstracts from the KAS corpus KAS-Abs 2.0
Žagar, Aleš; Kavaš, Matic; Robnik-Šikonja, Marko. - : Faculty of Electrical Engineering and Computer Science, University of Maribor, 2022. : Faculty of Computer and Information Science, University of Ljubljana, 2022
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2
Corpus of academic Slovene KAS 2.0
Žagar, Aleš; Kavaš, Matic; Robnik-Šikonja, Marko. - : Faculty of Electrical Engineering and Computer Science, University of Maribor, 2022. : Faculty of Computer and Information Science, University of Ljubljana, 2022
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3
Summarization datasets from the KAS corpus KAS-Sum 1.0
Žagar, Aleš; Kavaš, Matic; Robnik-Šikonja, Marko. - : Faculty of Electrical Engineering and Computer Science, University of Maribor, 2022. : Faculty of Computer and Information Science, University of Ljubljana, 2022
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4
Machine Translation datasets from the KAS corpus KAS-MT 1.0
Žagar, Aleš; Kavaš, Matic; Robnik-Šikonja, Marko. - : Faculty of Electrical Engineering and Computer Science, University of Maribor, 2022. : Faculty of Computer and Information Science, University of Ljubljana, 2022
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5
The ParlaMint corpora of parliamentary proceedings
BASE
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6
The ParlaMint corpora of parliamentary proceedings
In: Lang Resour Eval (2022)
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7
Offensive language dataset of Croatian, English and Slovenian comments FRENK 1.0
Ljubešić, Nikola; Fišer, Darja; Erjavec, Tomaž. - : Jožef Stefan Institute, 2021
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8
Offensive language dataset of Croatian, English and Slovenian comments FRENK 1.1
Ljubešić, Nikola; Fišer, Darja; Erjavec, Tomaž. - : Jožef Stefan Institute, 2021
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9
Abstracts from the KAS corpus KAS-Abs 1.0
Erjavec, Tomaž; Fišer, Darja; Ljubešić, Nikola. - : Jožef Stefan Institute, 2021. : Faculty of Electrical Engineering and Computer Science, University of Maribor, 2021
BASE
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10
English-Slovene term candidates KAS-biterm 1.0
Erjavec, Tomaž; Ljubešić, Nikola; Fišer, Darja. - : Jožef Stefan Institute, 2020
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11
Corpus of academic Slovene KAS 1.0
Erjavec, Tomaž; Fišer, Darja; Ljubešić, Nikola. - : Jožef Stefan Institute, 2019. : Faculty of Electrical Engineering and Computer Science, University of Maribor, 2019
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12
CMC training corpus Janes-Tag 2.1
Erjavec, Tomaž; Fišer, Darja; Čibej, Jaka. - : Jožef Stefan Institute, 2019
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13
Corpus of Academic Slovene (PhD theses) KAS-dr 1.0
Erjavec, Tomaž; Fišer, Darja; Ljubešić, Nikola. - : Jožef Stefan Institute, 2019. : Faculty of Electrical Engineering and Computer Science, University of Maribor, 2019
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14
Corpus of Academic Slovene (MSc/MA theses) KAS-mag 1.0
Erjavec, Tomaž; Fišer, Darja; Ljubešić, Nikola. - : Jožef Stefan Institute, 2019. : Faculty of Electrical Engineering and Computer Science, University of Maribor, 2019
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15
Corpus of Academic Slovene (BSc/BA theses) KAS-dipl 1.0
Erjavec, Tomaž; Fišer, Darja; Ljubešić, Nikola. - : Jožef Stefan Institute, 2019. : Faculty of Electrical Engineering and Computer Science, University of Maribor, 2019
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16
Dictionary of Twitterese Janes-Dict 1.0
Gantar, Polona; Škrjanec, Iza; Fišer, Darja. - : Faculty of Arts, University of Ljubljana, 2018
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17
Dataset and baseline model of moderated content FRENK-MMC-RTV 1.0
Ljubešić, Nikola; Erjavec, Tomaž; Fišer, Darja. - : Jožef Stefan Institute, 2018
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18
Bilingual terminology extraction dataset KAS-biterm 1.0
Erjavec, Tomaž; Fišer, Darja; Ljubešić, Nikola. - : Jožef Stefan Institute, 2018
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19
Terminology identification dataset KAS-term 1.0
Erjavec, Tomaž; Fišer, Darja; Ljubešić, Nikola. - : Jožef Stefan Institute, 2018
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20
Dataset and baseline model of moderated content FRENK-STYRIA-24sata 1.0
Ljubešić, Nikola; Erjavec, Tomaž; Fišer, Darja. - : Jožef Stefan Institute, 2018
Abstract: FRENK-STYRIA-24sata is a dataset of moderated newspaper comments from the website 24sata.hr with metadata on the time of publishing, user identifier, thread identifier and whether the comment was deleted by the moderators or not. The full text of each comment is encrypted via a character-replacement method so that the comments are not readable by humans. Basic punctuation is not encrypted in order to enable tokenization. The main use of this dataset are experiments on automating comment moderation. For real-world usage, a fastText classification model trained on non-encrypted data is made available as well.
Keyword: computer-mediated communication; content moderation; news comments
URL: http://hdl.handle.net/11356/1202
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